4.6 Article

Associations of Adiposity, Circulating Protein Biomarkers, and Risk of Major Vascular Diseases

Journal

JAMA CARDIOLOGY
Volume 6, Issue 3, Pages 276-286

Publisher

AMER MEDICAL ASSOC
DOI: 10.1001/jamacardio.2020.6041

Keywords

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Funding

  1. National Key R&D Program of China [2016YFC0900500, 2016YFC0900501, 2016YFC0900504, 2016YFC1303904]
  2. Kadoorie Charitable Foundation in Hong Kong
  3. UK Wellcome Trust [212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/Z]
  4. National Natural Science Foundation of China [91846303, 91843302, 81390540, 81390541, 81390544]
  5. Chinese Ministry of Science and Technology [2011BAI09B01]
  6. British Heart Foundation Intermediate Clinical Research Fellowship [FS/18/23/33512]
  7. National Institute for Health Research Oxford Biomedical Research Centre
  8. China Postdoctoral Science Foundation [2019TQ0008, 2020M670071]
  9. NDPH Pump Priming Award
  10. Pancreatic Cancer UK
  11. Cancer Research UK Oxford Centre
  12. Pancreatic Cancer UK Research Innovation Fund
  13. MRC [MC_U137686851, MC_UU_12026/2, MC_UU_00017/1] Funding Source: UKRI

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This subcohort study of 628 Chinese adults found that body mass index was positively associated with multiple protein biomarkers, some of which were also associated with the risk of cardiovascular disease. These findings suggest that proteins may partly explain the link between obesity and cardiovascular disease.
Importance Obesity is associated with a higher risk of cardiovascular disease (CVD), but little is known about the role that circulating protein biomarkers play in this association. Objective To examine the observational and genetic associations of adiposity with circulating protein biomarkers and the observational associations of proteins with incident CVD. Design, Setting, and Participants This subcohort study included 628 participants from the prospective China Kadoorie Biobank who did not have a history of cancer at baseline. The Olink platform measured 92 protein markers in baseline plasma samples. Data were collected from June 2004 to January 2016 and analyzed from January 2019 to June 2020. Exposures Measured body mass index (BMI) obtained during the baseline survey and genetically instrumented BMI derived using 571 externally weighted single-nucleotide variants. Main Outcomes and Measures Cross-sectional associations of adiposity with biomarkers were examined using linear regression. Associations of biomarkers with CVD risk were assessed using Cox regression among those without prior cancer or CVD at baseline. Mendelian randomization was conducted to derive genetically estimated associations of BMI with biomarkers. Findings In observational analyses of 628 individuals (mean [SD] age, 52.2 [10.5] years; 385 women [61.3%]), BMI (mean [SD], 23.9 [3.6]) was positively associated with 27 proteins (per 1-SD higher BMI; eg, interleukin-6: 0.21 [95% CI, 0.12-0.29] SD; interleukin-18: 0.13 [95% CI, 0.05-0.21] SD; monocyte chemoattractant protein-1: 0.12 [95% CI, 0.04-0.20] SD; hepatocyte growth factor: 0.31 [95% CI, 0.24-0.39] SD), and inversely with 3 proteins (Fas ligand: -0.11 [95% CI, -0.19 to -0.03] SD; TNF-related weak inducer of apoptosis, -0.14 [95% CI, -0.23 to -0.06] SD; and carbonic anhydrase 9: (-0.14 [95% CI, -0.22 to -0.05] SD), with similar associations identified for other adiposity traits (eg, waist circumference [r = 0.96]). In mendelian randomization, the associations of genetically elevated BMI with specific proteins were directionally consistent with the observational associations. In meta-analyses of genetically elevated BMI with 8 proteins, combining present estimates with previous studies, the most robust associations were shown for interleukin-6 (per 1-SD higher BMI; 0.21 [95% CI, 0.13-0.29] SD), interleukin-18 (0.16 [95% CI, 0.06-0.26] SD), monocyte chemoattractant protein-1 (0.21 [95% CI, 0.11-0.30] SD), monocyte chemotactic protein-3 (0.12 [95% CI, 0.03-0.21] SD), TNF-related apoptosis-inducing ligand (0.23 [95% CI, 0.13-0.32] SD), and hepatocyte growth factor (0.14 [95% CI, 0.06-0.22] SD). Of the 30 BMI-associated biomarkers, 10 (including interleukin-6, interleukin-18, and hepatocyte growth factor) were nominally associated with incident CVD. Conclusions and Relevance Mendelian randomization shows adiposity to be associated with a range of protein biomarkers, with some biomarkers also showing association with CVD risk. Future studies are warranted to validate these findings and assess whether proteins may be mediators between adiposity and CVD. Question Is adiposity associated with differences in circulating protein concentrations, and might these proteins potentially explain the associations of adiposity with risk of cardiovascular disease? Findings In a cohort study of 628 individuals in China, there was evidence of genetic associations of body mass index with protein biomarkers consistent with observational associations, particularly for interleukin-6, interleukin-18, monocyte chemoattractant protein-1, monocyte chemotactic protein-3, TNF-related apoptosis-inducing ligand, and hepatocyte growth factor. Several of these proteins were observationally associated with risk of incident cardiovascular disease. Meaning In this study of Chinese adults, adiposity was associated both cross-sectionally and through genetic analyses with a range of protein biomarkers, which might partly explain the association between adiposity and cardiovascular disease. This subcohort study of Chinese adults examines the observational and genetic associations of adiposity with proteomics and the observational associations of adiposity with cardiovascular disease.

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